@{MTMT:32766632,
	title = {UML dokumentáció},
	url = {https://m2.mtmt.hu/api/publication/32766632},
	author = {Tamás, Judit},
	booktitle = {"OmegaSys – Élettartam tervező és meghibásodás előrejelző komplex döntéstámogató rendszer, facility management szolgáltatás kialakításához" című projekt keretében végzett kutatások legfontosabb eredményei},
	unique-id = {32766632},
	year = {2022},
	pages = {502-556},
	orcid-numbers = {Tamás, Judit/0000-0002-8077-5839}
}

@CONFERENCE{MTMT:32076574,
	title = {Tuning of Category Hierarchy Enhanced Classification Based Indoor Positioning},
	url = {https://m2.mtmt.hu/api/publication/32076574},
	author = {Tamás, Judit and Tóth, Zsolt},
	booktitle = {1st Conference on Information Technology and Data Science, CITDS 2020},
	unique-id = {32076574},
	abstract = {The tuning of classification refinement using hierarchical grouping of categories is presented in this paper. The refinement can improve the accuracy of classifiers in the case of low confidence level and it uses a classifier, a threshold and a dendrogram as parameters. For the examination, the k–NN and the Naive Bayes classifiers are used and the dendrogram will be generated by using linkage method and dissimilarity value of gravitational force-based approach on the topology information. The topology of the environment is described by IndoorGML (Indoor Geographic Markup Language) document. The data set for the classification is part of the Miskolc IIS (Institute of Information Science) Hybrid IPS (Indoor Positioning System) Data set recorded with the ILONA (Indoor Localization and Navigation) System. Three properties are examined of a setup, namely hitRate, confidence and abstraction, however, they are conflicting. A fitness function is introduced using these properties for the purpose of tuning. In this paper, the different weight tuples are examined in the given test environment. The goal of the paper is to examine the weighting possibilities of the hitRate, confidence, and abstraction level features for indoor positioning purposes. Copyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).},
	keywords = {CLASSIFICATION; TOPOLOGY; Classifiers; Classification (of information); Markup languages; Hierarchical clustering; Fitness functions; Data Science; Indoor positioning; Indoor positioning systems; Naive Bayes classifiers; Gravitational forces; Topology information; Indoor localization and navigations; Geographic markup languages; Hierarchical groupings},
	year = {2021},
	pages = {207-217},
	orcid-numbers = {Tamás, Judit/0000-0002-8077-5839; Tóth, Zsolt/0000-0001-6228-4262}
}

@inproceedings{MTMT:31622604,
	title = {Digital Transformation in Education during COVID–19: a Case Study},
	url = {https://m2.mtmt.hu/api/publication/31622604},
	author = {Bogdándy, Bence and Tamás, Judit and Tóth, Zsolt},
	booktitle = {11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2020)},
	doi = {10.1109/CogInfoCom50765.2020.9237840},
	unique-id = {31622604},
	year = {2020},
	pages = {173-178},
	orcid-numbers = {Tamás, Judit/0000-0002-8077-5839; Tóth, Zsolt/0000-0001-6228-4262}
}

@CONFERENCE{MTMT:31400957,
	title = {Classification Refinement With Category Hierarchy},
	url = {https://m2.mtmt.hu/api/publication/31400957},
	author = {Tamás, Judit and Tóth, Zsolt},
	booktitle = {Proceedings of the 11th International Conference on Applied Informatics (ICAI 2020)},
	unique-id = {31400957},
	abstract = {The concept of classification refinement using hierarchical grouping of categories is presented in this paper. Hierarchical grouping can be determined by heuristic, or existing hierarchical clustering algorithms can be applied to generate tree structures. The concept presented requires the classifier, the grouping of the categories and a threshold value as parameters. The concept is defined to be used for multiple classification tasks. The presented concept can improve the accuracy of classifiers in the case of low confidence level. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).},
	year = {2020},
	pages = {358-369},
	orcid-numbers = {Tamás, Judit/0000-0002-8077-5839; Tóth, Zsolt/0000-0001-6228-4262}
}

@inproceedings{MTMT:31137935,
	title = {Hierarchical Clustering based on IndoorGML Document},
	url = {https://m2.mtmt.hu/api/publication/31137935},
	author = {Tamás, Judit},
	booktitle = {2019 IEEE 15th International Scientific Conference on Informatics, Informatics 2019, Proceedings},
	doi = {10.1109/Informatics47936.2019.9119255},
	unique-id = {31137935},
	year = {2019},
	pages = {411-416},
	orcid-numbers = {Tamás, Judit/0000-0002-8077-5839}
}

@article{MTMT:30739198,
	title = {Topology-based Evaluation for Symbolic Indoor Positioning Algorithms},
	url = {https://m2.mtmt.hu/api/publication/30739198},
	author = {Tamás, Judit and Tóth, Zsolt},
	doi = {10.1109/TIA.2019.2928489},
	journal-iso = {IEEE T IND APPL},
	journal = {IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS},
	volume = {55},
	unique-id = {30739198},
	issn = {0093-9994},
	year = {2019},
	eissn = {1939-9367},
	pages = {6324-6331},
	orcid-numbers = {Tamás, Judit/0000-0002-8077-5839; Tóth, Zsolt/0000-0001-6228-4262}
}

@CONFERENCE{MTMT:3392123,
	title = {Topology-based Classification Error Calculation based on IndoorGML Document},
	url = {https://m2.mtmt.hu/api/publication/3392123},
	author = {Krisztián, Ilku and Tamás, Judit},
	booktitle = {The 11th Conference of PhD Students in Computer Science},
	unique-id = {3392123},
	year = {2018},
	pages = {101-105},
	orcid-numbers = {Tamás, Judit/0000-0002-8077-5839}
}

@inproceedings{MTMT:3383313,
	title = {IndoorGML Modeling: A Case Study},
	url = {https://m2.mtmt.hu/api/publication/3383313},
	author = {Krisztián, Ilku and Tamás, Judit},
	booktitle = {Proceedings of the 19th International Carpathian Control Conference (ICCC 2018)},
	doi = {10.1109/CarpathianCC.2018.8399707},
	unique-id = {3383313},
	year = {2018},
	pages = {633-638},
	orcid-numbers = {Tamás, Judit/0000-0002-8077-5839}
}

@inproceedings{MTMT:3383232,
	title = {Topology-based Classification Error Calculation for Symbolic Indoor Positioning},
	url = {https://m2.mtmt.hu/api/publication/3383232},
	author = {Tamás, Judit and Tóth, Zsolt},
	booktitle = {Proceedings of the 19th International Carpathian Control Conference (ICCC 2018)},
	doi = {10.1109/CarpathianCC.2018.8399709},
	unique-id = {3383232},
	year = {2018},
	pages = {643-648},
	orcid-numbers = {Tamás, Judit/0000-0002-8077-5839; Tóth, Zsolt/0000-0001-6228-4262}
}

@article{MTMT:3360652,
	title = {Classification-based symbolic indoor positioning over the Miskolc IIS Data-set},
	url = {https://m2.mtmt.hu/api/publication/3360652},
	author = {Tamás, Judit and Tóth, Zsolt},
	doi = {10.1080/17489725.2018.1455992},
	journal-iso = {JOURNAL OF LOCATION BASED SERVICES},
	journal = {JOURNAL OF LOCATION BASED SERVICES},
	volume = {12},
	unique-id = {3360652},
	issn = {1748-9725},
	year = {2018},
	eissn = {1748-9733},
	pages = {2-18},
	orcid-numbers = {Tamás, Judit/0000-0002-8077-5839; Tóth, Zsolt/0000-0001-6228-4262}
}